Vulnerability from bitnami_vulndb
Published
2024-03-06 11:10
Modified
2025-05-20 10:02
Summary
`FractionalMaxPoolGrad` Heap out of bounds read in Tensorflow
Details
TensorFlow is an open source platform for machine learning. If FractionMaxPoolGrad is given outsize inputs row_pooling_sequence and col_pooling_sequence, TensorFlow will crash. We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
{
"affected": [
{
"package": {
"ecosystem": "Bitnami",
"name": "tensorflow",
"purl": "pkg:bitnami/tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.8.4"
},
{
"introduced": "2.9.0"
},
{
"fixed": "2.9.3"
},
{
"introduced": "2.10.0"
},
{
"fixed": "2.10.1"
}
],
"type": "SEMVER"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
]
}
],
"aliases": [
"CVE-2022-41897"
],
"database_specific": {
"cpes": [
"cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*"
],
"severity": "High"
},
"details": "TensorFlow is an open source platform for machine learning. If `FractionMaxPoolGrad` is given outsize inputs `row_pooling_sequence` and `col_pooling_sequence`, TensorFlow will crash. We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.",
"id": "BIT-tensorflow-2022-41897",
"modified": "2025-05-20T10:02:07.006Z",
"published": "2024-03-06T11:10:45.970Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/fractional_max_pool_op.cc"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/d71090c3e5ca325bdf4b02eb236cfb3ee823e927"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f2w8-jw48-fr7j"
},
{
"type": "WEB",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-41897"
}
],
"schema_version": "1.5.0",
"summary": "`FractionalMaxPoolGrad` Heap out of bounds read in Tensorflow"
}
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Sightings
| Author | Source | Type | Date |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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